171,128 research outputs found

    Dearden, C

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    C. W. Dearden, The Stage of Aristophanes

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    Van Looy Herman. C. W. Dearden, The Stage of Aristophanes. In: L'antiquité classique, Tome 45, fasc. 2, 1976. pp. 667-669

    79. Dearden (C. W.). The Stage of Aristophanes

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    Ghiron-Bistagne Paulette. 79. Dearden (C. W.). The Stage of Aristophanes. In: Revue des Études Grecques, tome 90, fascicule 430-431, Juillet-décembre 1977. pp. 499-500

    79. Dearden (C. W.). The Stage of Aristophanes

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    Ghiron-Bistagne Paulette. 79. Dearden (C. W.). The Stage of Aristophanes. In: Revue des Études Grecques, tome 90, fascicule 430-431, Juillet-décembre 1977. pp. 499-500

    EU Development Policy: Delivering Aid Effectiveness. Jean Monnet/Robert Shuman Paper Series. Vol. 8, No. 10 June 2008.

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    [From the Introduction]. A considerable academic debate has also taken place as to the significance of EU development policy both to the process of EU integration itself and to the expression of the EU’s collective interests on the world stage. Holland (2002) for example, argues that the increased effectiveness of collective EU action over national bi-lateral aid programmes can make an important contribution to strengthening the legitimacy of the EU itself. Meanwhile Arts and Dickson (2004) views EU development policy as having shifted from an innovative model of north-south relations to an assertion of the EU’s identity in the international arena. However this paper addresses the much narrower question as to whether the EC’s development programme has realised its potential for efficient aid delivery, for demonstrating a comparative advantage over national programmes and for contributing to the co-ordination and harmonisation of the Member States policies

    Linear QSAR regression models for the prediction of bioconcentration factors by physicochemical properties and structural theoretical molecular descriptors

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    The development of QSAR models useful for the prediction of fish bioconcentration factor (BCF) for a wide range of different chemical classes is crucial for the assessment and prioritisation of potentially persistent bioaccumulative and toxic substances. In this study we present QSAR models for BCF developed on a wide range of chemical structural classes of environmental and toxicological interest (such as dyes and various chlorinated and brominated compounds). The aim is to provide valid QSAR models, statistically validated for predictivity, for the prediction of BCF in general, but also for problematical chemical classes such as highly hydrophobic chemicals. Several descriptors, calculated by different commercially available software packages, have been employed in order to take into account relevant information provided by physicochemical properties (octanol/water partition coefficient and water solubility) and molecular features (structural and quantum-chemical molecular descriptors). The best descriptor subsets for the models were selected using the Genetic Algorithm-Variable Subset Selection strategy (GA-VSS) and calculations were performed by ordinary least squares regression. Starting from a data set of 640 compounds (log Kow range from -2.34 to 12.66), we developed linear QSARs, firstly for a data set of 620 compounds (log Kow range from -2.34 to 10.35) and secondly specifically for 87 highly hydrophobic chemicals (log Kow range from 6.00 to 10.35). All these models have been statistically validated (both internally by cross-validation and bootstrap and externally, by "a priori" splitting of available data by Kohonen Map-ANN in training and prediction sets) and their structural chemical domain has been verified by the leverage approach
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